ArticleComputational and mathematical methods in medicine2020
Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.
Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A New Feature Analysis Approach to Selecting Channels of EEG for Fatigue Driving.Computational and mathematical methods in medicine · 2022Article
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12 authors.
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Abstract
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replace the original multimodal image and compute similarity to express the correlation of images. The accuracy and converging rate of the registration depend on this set. We propose a new method, logarithmic fuzzy entropy function, to compute the descriptor set. It is obvious that the proposed method can increase the upper bound value from log(
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